Learnable Embedding Space for Efficient Neural Architecture Compression

1 February 2019

Papers citing "Learnable Embedding Space for Efficient Neural Architecture Compression"

10 / 10 papers shown

Title
Robustifying and Boosting Training-Free Neural Architecture Search Zhenfeng He Yao Shu Zhongxiang Dai K. H. Low 43 1 0 12 Mar 2024
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML M. Deutel G. Kontes Christopher Mutschler Jürgen Teich 55 0 0 23 May 2023
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation Sumanth Chennupati Mohammad Mahdi Kamani Zhongwei Cheng Lin Chen 30 4 0 19 Oct 2021
Towards Accurate and Compact Architectures via Neural Architecture Transformer Yong Guo Yin Zheng Mingkui Tan Qi Chen Zhipeng Li Jian Chen P. Zhao Junzhou Huang ViT MQ 16 38 0 20 Feb 2021
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models Xiaofang Wang Dan Kondratyuk Eric Christiansen Kris Kitani Y. Alon Elad Eban 13 46 0 03 Dec 2020
Population-Based Black-Box Optimization for Biological Sequence Design Christof Angermüller David Belanger Andreea Gane Zelda E. Mariet David Dohan Kevin Patrick Murphy Lucy J. Colwell D. Sculley 23 133 0 05 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Xiaojiang Chen Xin Wang AI4CE 74 654 0 01 Jun 2020
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 36 717 0 20 Feb 2019
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 499 0 24 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,330 0 05 Nov 2016